1 files changed, 0 insertions, 124 deletions

diff --git a/g4f/Provider/OpenaiChat.py b/g4f/Provider/OpenaiChat.py
deleted file mode 100644
index 8f183fb9..00000000
--- a/g4f/Provider/OpenaiChat.py
+++ /dev/null
@@ -1,124 +0,0 @@
-from __future__ import annotations
-
-import uuid, json, time
-
-from .base_provider import AsyncGeneratorProvider
-from .helper import get_browser, get_cookies, format_prompt
-from ..typing import AsyncGenerator
-from ..requests import StreamSession
-
-class OpenaiChat(AsyncGeneratorProvider):
-    url                   = "https://chat.openai.com"
-    needs_auth            = True
-    working               = True
-    supports_gpt_35_turbo = True
-    _access_token         = None
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: list[dict[str, str]],
-        proxy: str = None,
-        access_token: str = None,
-        cookies: dict = None,
-        **kwargs: dict
-    ) -> AsyncGenerator:
-        proxies = {"https": proxy}
-        if not access_token:
-            access_token = await cls.get_access_token(cookies, proxies)
-        headers = {
-            "Accept": "text/event-stream",
-            "Authorization": f"Bearer {access_token}",
-        }
-        async with StreamSession(proxies=proxies, headers=headers, impersonate="chrome107") as session:
-            messages = [
-                {
-                    "id": str(uuid.uuid4()),
-                    "author": {"role": "user"},
-                    "content": {"content_type": "text", "parts": [format_prompt(messages)]},
-                },
-            ]
-            data = {
-                "action": "next",
-                "messages": messages,
-                "conversation_id": None,
-                "parent_message_id": str(uuid.uuid4()),
-                "model": "text-davinci-002-render-sha",
-                "history_and_training_disabled": True,
-            }
-            async with session.post(f"{cls.url}/backend-api/conversation", json=data) as response:
-                response.raise_for_status()
-                last_message = ""
-                async for line in response.iter_lines():
-                    if line.startswith(b"data: "):
-                        line = line[6:]
-                        if line == b"[DONE]":
-                            break
-                        try:
-                            line = json.loads(line)
-                        except:
-                            continue
-                        if "message" not in line or "message_type" not in line["message"]["metadata"]:
-                            continue
-                        if line["message"]["metadata"]["message_type"] == "next":
-                            new_message = line["message"]["content"]["parts"][0]
-                            yield new_message[len(last_message):]
-                            last_message = new_message
-
-    @classmethod
-    def browse_access_token(cls) -> str:
-        try:
-            from selenium.webdriver.common.by import By
-            from selenium.webdriver.support.ui import WebDriverWait
-            from selenium.webdriver.support import expected_conditions as EC
-
-            driver = get_browser()
-        except ImportError:
-            return
-
-        driver.get(f"{cls.url}/")
-        try:
-            WebDriverWait(driver, 1200).until(
-                EC.presence_of_element_located((By.ID, "prompt-textarea"))
-            )
-            javascript = "return (await (await fetch('/api/auth/session')).json())['accessToken']"
-            return driver.execute_script(javascript)
-        finally:
-            time.sleep(1)
-            driver.quit()
-
-    @classmethod
-    async def fetch_access_token(cls, cookies: dict, proxies: dict = None) -> str:
-        async with StreamSession(proxies=proxies, cookies=cookies, impersonate="chrome107") as session:
-            async with session.get(f"{cls.url}/api/auth/session") as response:
-                response.raise_for_status()
-                auth = await response.json()
-                if "accessToken" in auth:
-                    return auth["accessToken"]
-
-    @classmethod
-    async def get_access_token(cls, cookies: dict = None, proxies: dict = None) -> str:
-        if not cls._access_token:
-            cookies = cookies if cookies else get_cookies("chat.openai.com")
-            if cookies:
-                cls._access_token = await cls.fetch_access_token(cookies, proxies)
-        if not cls._access_token:
-            cls._access_token = cls.browse_access_token()
-        if not cls._access_token:
-            raise RuntimeError("Read access token failed")
-        return cls._access_token
-
-    @classmethod
-    @property
-    def params(cls):
-        params = [
-            ("model", "str"),
-            ("messages", "list[dict[str, str]]"),
-            ("stream", "bool"),
-            ("proxy", "str"),
-            ("access_token", "str"),
-            ("cookies", "dict[str, str]")
-        ]
-        param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.provider.{cls.__name__} supports: ({param})"
\ No newline at end of file